Graph

Bigdata®
Bigdata® Bigdata® is a horizontally scaled storage and computing fabric supporting optional transactions, very high concurrency, and very high aggregate IO rates.

Bigdata® was designed from the ground up as a distributed database architecture running over clusters of 100s to 1000s of machines, but can also run in a high-performance single-server mode. Petabyte scale Dynamic sharding Commodity Hardware Open Source / Java Temporal database High Performance High Concurrency (MVCC) High Availability The bigdata® architecture provides a high-performance platform for data-intensive distributed computing, indexing, and high-level query on commodity clusters. While the semantic web database layer has received the most attention, the bigdata® architecture is well suited for a wide range of data models, workloads, and applications.

It is a graph database designed specifically for artificial intelligence and semantic web projects, it can also be used as an embedded object-oriented database for projects of all sizes. The system is reliable and in production use is several projects, including a search engine and our own Seco scripting IDE where most of the runtime environment is automatically saved as a hypergraph. HyperGraphDB is primarily what its carefully chosen name implies: a database for storing hypergraphs. While it falls into the general family of graph databases, it is hard to categorize HyperGraphDB as yet another database because much of its design evolves around providing the means to manage structure-rich information with arbitrary layers of complexity. For instance, a relational as well as an object-oriented style of data management can be emulated. Key Facts Possible Usage Scenarios.

InfiniteGraph, the Distributed Graph Database. InfiniteGraph Overview InfiniteGraph enables organizations to achieve greater return on their data related investment by helping them “connect the dots” on a global scale, ask deeper and more complex questions, across new or existing data stores.

There is no other graph technology available today, offered by any other commercial vendor or open source project, that can match InfiniteGraph’s combined strengths of persisting and traversing complex relationships requiring multiple hops, across vast and distributed data stores. Key Features Distributed Graph Database Take full advantage of distributed data using flexible and configurable storage locations, and distribute the processing load in the most efficient way for your application.